Meet Dubey, et. al. International Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 12, Issue 4, (Series-II) April 2022, pp. 40-45 www.ijera.com DOI: 10.9790/9622-1204024045 40 | Page Data Driven Machine Learning System for Optimization of Clinic Activities Paresh Devlekar* 1 , Prajwal Gawande* 2, Chinmay Chalke* 3, Shruti Agrawal* 4 *1,2,3 (Student, Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India) *4 (Prof., Department of Information Technology, Vidyalankar Institute of Technology, Mumbai, Maharashtra, India) ABSTRACT At present, a person sick from any disease needs to visit the hospital/clinic to book an appointment. The patients need to wait in a queue while getting an appointment. Just in case a doctor calls off an appointment due to some emergency reasons then the patient remains unaware about the cancellation of the appointment till the time he or she visits the clinic. Also whenever the patient visits the doctor is asked to carry their prescriptions. Doctors don’t keep a track record of when the patient last visited him for an appointment. Doctors are unaware of who all will visit him on a given day and hence are not able to manage their appointments accordingly. Doctors are unable to access the patient details and medical history until and unless he/she checks the medical report. Also, now-a-days major problems based on symptoms humans predict the disease and that creates a panic situation. Thus, our integrated machine learning system helps the user to find its disease based on symptoms and also helps the user to redirect to the specialists for seeking help. This paper deals with an automated virtual clinic system which consists of an automated appointment booking facility, disease prediction system and electronic prescription section which will help doctors along with the patients. Keywords - automated, machine learning, automated appointment booking, disease prediction. --------------------------------------------------------------------------------------------------------------------------------------- Date of Submission: 05-04-2022 Date of Acceptance: 20-04-2022 --------------------------------------------------------------------------------------------------------------------------------------- I. INTRODUCTION Disease is one of the most common issues in a person’s life. This paper aims to cover all the aspects of management and operations of a clinic and take them online so any one can access it from remote location. It will help healthcare provider to improve its operational effectiveness, reduce time consumption, and enhancing delivery of quality of care. This project implements all the activities of a clinic in a computerized automated way to reduce the human load, interference and also to fasten the performance. The appointment-scheduling process has become a necessary burden in medical offices, healthcare facilities and wellness centers. An automated Appointment and scheduling software have been developed to minimize some of the challenges faced by medial workers. The advantages of implementing this technology would benefit everyone involved in the scheduling process, as administrators and staff can conduct their tasks more efficiently and accurately, while customers and clients have the ability to book their appointments and reservations quickly and more comfortably. The proposed system is aimed at simplifying the task of the patient and the doctor. It will reduce long waiting time for patients and eliminate long queue. Patient also have privilege to fix their appointment and also book an appointment according to their preference. The system will carry out timely and convenient access to health services for all patients. Another problem arises when the patients who are in need to know the condition of their health and at sometimes if the person has been observing few symptoms and he/she is not sure about the disease he/she is suffering from will lead to various diseases in future. So, to avoid that and get to know the disease in early stages of the symptoms this disease prediction will help a lot to various people ranging from children to teenagers to adults and also the senior citizens. The disease is predicted using various techniques and algorithms and the user has to enter the symptoms from the given drop-down menu. II. LITERATURE SURVEY In paper [1], ShankarBirajdar, Snehal Dalvi, Gaurav Kumavat, Kavita Devadiga,, Prachi Kshirsagar in the research work proposed a RESEARCH ARTICLE OPEN ACCESS